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US Patent 11675940 Generating integrated circuit floorplans using neural networks

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Patent
Patent
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Patent attributes

Patent Applicant
Google
Google
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Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116759400
Date of Patent
June 13, 2023
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Patent Application Number
174095660
Date Filed
August 23, 2021
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Patent Citations
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US Patent 10817634 Machine-learning circuit optimization using quantized prediction functions
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US Patent 10824946 Training neural networks using posterior sharpening
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US Patent 10963779 Neural network programmer
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US Patent 11100266 Generating integrated circuit floorplans using neural networks
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US Patent 10970441 System and method using neural networks for analog-to-information processors
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US Patent 9792397 System and method for designing system on chip (SoC) circuits through artificial intelligence and reinforcement learning
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US Patent 10372859 System and method for designing system on chip (SoC) circuits using single instruction multiple agent (SIMA) instructions
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US Patent 10679126 Action selection for reinforcement learning using neural networks
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...
Patent Primary Examiner
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Leigh M. Garbowski
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Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

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